- Performed EDA and feature engineering on flight dataset consisting of 5.8 million records
- Developed classification and regression models to predict flight delays and cancellations using pyspark pipelines
- Trained logistic regression, Random Forest using Pyspark ML
surjits254 / flights-delay-cancellation-prediction Goto Github PK
View Code? Open in Web Editor NEWPerformed EDA and feature engineering on flight dataset consisting of 5.8 million records. Developed classification and regression models to predict flight delays and cancellations from various features by building PySpark pipelines.